skumar9876 / FCRLLinks
Implementation of "Federated Control with Hierarchical Multi-Agent Deep Reinforcement Learning" (https://arxiv.org/pdf/1712.08266.pdf)
☆39Updated 6 years ago
Alternatives and similar repositories for FCRL
Users that are interested in FCRL are comparing it to the libraries listed below
Sorting:
- ☆15Updated 5 years ago
- ☆89Updated 3 years ago
- Publication catalog for research on Federated RL (FRL).☆82Updated 3 years ago
- Hao Jin, Yang Peng, Wenhao Yang, Shusen Wang and Zhihua Zhang. Federated Reinforcement Learning with Environment Heterogeneity. AISTATS, …☆59Updated 3 years ago
- [INFOCOM 2022] AoI-minimal UAV Crowdsensing by Model-based Graph Convolutional Reinforcement Learning☆54Updated 2 years ago
- ☆42Updated 3 years ago
- [NeurIPS 2024] Code for Federated Ensemble-Directed Offline Reinforcement Learning☆25Updated 10 months ago
- Dynamic multi-cell selection for cooperative multipoint (CoMP) using (multi-agent) deep reinforcement learning☆64Updated 2 years ago
- qmix☆23Updated 5 years ago
- Hybrid action space reinforcement learning algorithms.☆13Updated 4 years ago
- [NeurIPS2021] Federated Reinforcement Learning with Theoretical Guarantees. The repo contains code and experiments for our Federated Poli…☆97Updated 3 months ago
- [ICDE 2022] Human-Drone Collaborative Spatial Crowdsourcing by Memory-Augmented Distributed Multi-Agent Deep Reinforcement Learning☆25Updated 3 years ago
- ☆36Updated 2 years ago
- hizircanbayram / FeDQN-A-Federated-Learning-Approach-for-Training-Reinforcement-Learning-Agent-of-Atari-GamesFeDQN is a federated pipeline for training reinforcement learning agent of atari game, the Pong, developed during my first semester at Is…☆24Updated 4 years ago
- Decentralized deep multi-agent reinforcement learning in physical environments.☆14Updated 6 years ago
- Deep Reinforcement Learning (DRL) algorithms have been successfully applied to a range of challenging simulated continuous control single…☆52Updated 6 years ago
- [TMC 2021] Distributed and Energy-Efficient Mobile Crowdsensing with Charging Stations by Deep Reinforcement Learning☆28Updated 3 years ago
- Code for IEEE GLOBECOM 2023 paper "Caching for Edge Inference at Scale: A Mean Field Multi-Agent Reinforcement Learning Approach".☆13Updated last year
- demo of multi-agent reinforcement learning algorithms, such as ATT-MADDPG (Modelling the Dynamic Joint Policy of Teammates with Attention…☆60Updated 4 years ago
- meta-MADDPG (Python implementation)☆18Updated 6 years ago
- [ICDE 2020] Curiosity-Driven Energy-Efficient Worker Scheduling in Vehicular Crowdsourcing: A Deep Reinforcement Learning Approach☆17Updated 3 years ago
- Implementation code for GraphMIX: Graph Convolutional Value Decomposition in Multi-Agent Reinforcement Learning☆34Updated 4 years ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆65Updated 6 years ago
- The code of paper "Learning Heterogeneous Strategies via Graph-based Multi-agent Reinforcement Learning in Mixed Cooperative-Competitive …☆15Updated 4 years ago
- my code for paper Parameterized-DQN☆22Updated 4 years ago
- A novel preference-driven multi-objective reinforcement learning algorithm using a single policy network that covers the entire preferenc…☆32Updated last year
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆157Updated last year
- Codes for the paper "AoI Aware Radio Resource Management of Autonomous Platoons via Multi Agent Reinforcement Learning"☆21Updated 2 years ago
- ☆74Updated 3 years ago
- Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning☆98Updated 2 years ago